Triple

T10750708
Position Surface form Disambiguated ID Type / Status
Subject Kiana E253563 entity
Predicate variantOf P4680 FINISHED
Object Kianna
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
 E884001 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kianna | Statement: [Kiana, variantOf, Kianna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kianna
Context triple: [Kiana, variantOf, Kianna]
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Kiana Williams
    Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Kyra
    Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
  • E. Kaylee
    Kaylee is a feminine given name, often considered a modern, creative spelling of names like Cailee, Kayleigh, or Kayla.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kianna
Triple: [Kiana, variantOf, Kianna]
Generated description
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kianna
Target entity description: Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Kiana Williams
    Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Kyra
    Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
  • E. Kaylee
    Kaylee is a feminine given name, often considered a modern, creative spelling of names like Cailee, Kayleigh, or Kayla.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dbfe5f481908eed42328447b158 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23292f8c8190a52c94c03e7d476d completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:15 p.m.